The graph represents a network of 2,517 Twitter users whose recent tweets contained "digitalhealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 22:08 UTC.
The tweets in the network were tweeted over the 2760-day, 13-hour, 44-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 2517
Unique Edges : 2840
Edges With Duplicates : 10682
Total Edges : 13522
Number of Edge Types : 8
Retweet : 2879
MentionsInRetweet : 4704
Tweet : 1412
Mentions : 2713
Quote : 133
Replies to : 182
MentionsInReplyTo : 1298
MentionsInQuote : 201
Self-Loops : 2478
Reciprocated Vertex Pair Ratio : 0.0586940572267058
Reciprocated Edge Ratio : 0.110880110880111
Connected Components : 342
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 1742
Maximum Edges in a Connected Component : 12276
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.631071
Graph Density : 0.00068358690317605
Modularity : 0.268116
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,517 Twitter users whose recent tweets contained "digitalhealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 22:08 UTC.
The tweets in the network were tweeted over the 2760-day, 13-hour, 44-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : digitalhealth
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[707] #digitalhealth,#socialmedia [675] #healthtech,#smartcity [672] #csuite,#digitalhealth [671] #vive2023,#healthtech [671] #datascientist,#csuite [670] #web3,#cx [670] #digitalhealth,#web3 [611] #smartcity,#dataviz [611] #dataviz,#datascientist [418] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[506] #healthtech,#smartcity [505] #csuite,#digitalhealth [504] #datascientist,#csuite [504] #vive2023,#healthtech [503] #web3,#cx [503] #digitalhealth,#web3 [455] #dataviz,#datascientist [455] #smartcity,#dataviz [262] #cx,#ehealth [256] #ehealth,#finserv Top Word Pairs in Tweet in G2:
[152] #digitalhealth,#ehealth [146] #healthtech,#smartcity [144] #csuite,#digitalhealth [144] #digitalhealth,#web3 [144] chidambara09,#vive2023 [144] #web3,#cx [144] #vive2023,#healthtech [144] #dataviz,#datascientist [144] #smartcity,#dataviz [144] #datascientist,#csuite Top Word Pairs in Tweet in G3:
[29] digital,health [18] #rewired23,#digitalhealth [15] health,care [15] #digitalhealth,#nhs [13] great,session [12] day,#rewired23 [10] #datascientist,#csuite [10] #smartcity,#dataviz [10] chidambara09,#vive2023 [10] #digitalhealth,#digital Top Word Pairs in Tweet in G4:
[81] #healthcare,#digitalhealth [63] #ehealth,#healthcare [62] #healthcareit,#ehealth [58] #health,#healthcareit [48] #hospital,#clinics [48] #doctors,#hospital [46] #ehr,#emr [43] #emr,#health [43] #clinics,#ehr [34] digital,health Top Word Pairs in Tweet in G5:
[29] digital,health [22] daily,#digitalhealth [13] #digital,#digitalhealth [11] learn,more [11] #digitalhealth,#health [9] #digitalhealth,#healthcare [9] read,more [8] #tech,#innovation [7] #innovation,#digital [7] #datascience,#tech Top Word Pairs in Tweet in G6:
[495] #digitalhealth,#socialmedia [326] #socialmedia,#digitalmarketing [149] #digital,#digitalhealth [110] #digitalhealth,#health [87] #socialmedia,#digital [70] #mhealth,#industry40 [69] #healthtech,#mhealth [68] #digitalmarketing,#healthtech [67] #iot,#ai [62] #digitalmarketing,#iot Top Word Pairs in Tweet in G7:
[11] #digitalhealth,#hcldr [8] harlow,healthcare [8] healthcare,#digitalhealth [8] icymi,gt [8] #hcldr,#hitsm [5] #digitalhealth,#medtech [5] sorti,presse [5] hottopics,sorti [5] presse,unes [5] #digitalhealth,#healthtech Top Word Pairs in Tweet in G8:
[4] kcdh_iitb,invites [4] invites,inaugural [4] india,monday [4] theme,catalysing [4] digital,health [4] revolution,india [4] inaugural,event [4] catalysing,digital [4] event,theme [4] health,revolution Top Word Pairs in Tweet in G9:
[7] digital,health [3] latest,mhealth [3] daily,thanks [3] mhealth,daily [3] week,digital [2] barrier,#digitalhealth [2] misinformation,incorrect [2] 2023,#digitalhealth [2] incorrect,usage [2] radical,health Top Word Pairs in Tweet in G10:
[8] healthcare,#digitalhealth [8] #digitalhealth,change [8] access,best [8] still,many [8] change,narrative [8] many,india [8] india,access [8] best,healthcare [6] digital,mission [6] bharat,digital Top Replied-To in Entire Graph:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: